[Blog Reads] December 2016 – January 2017

[Blog Reads] December 2016 – January 2017

l Hi everyone! Sorry for the belated post. December is the month of exams and studying. It was also the end of my internship/part-time job as well as the time to submit my research paper for my undergraduate courses. Furthermore, I had been traveling a lot all across the world (more posts on them coming soon). In brief, I had been overwhelmed with things to do and barely had time to blog much. We are now one week into 2017 and I am excited to share with you the recent and interesting news from all over the web, published in either December 2016 or January 2017. Since I am covering for more than 6 weeks of articles, this post is going to be long! 😛

End of 2016 Recaps

Of course, there had been a heavy number of posts at the end of the month as everyone wants to review what they did in 2016. There are of course a tone of great post about the subject:

Best Data Visualization Projects of 2016 (link): Probably my favorite post on this list. Go check it out as everything is so amazing, innovative and beautiful.

A non-comprehensive list of awesome things other people did in 2016 (link)

NIPS Conference 2016 is THE event for data scientist around the world. It was held on December 10th, perfect to end the year! The 2016 edition was held in Spain and maybe bloggers used the opportunity to share what they learned there:

Your Ultimate Guide for Waking Up Early This post not only talks about the benefits of waking up early, but also teach you how to do so. Some of the most important or interesting points in my opinion: goals, night routine, sleep quality and morning routine.

Big 4 News (Google, Facebook, Microsoft, Amazon)

Building Jarvis No surprise this post made the list! It has been a hot topic for the end of December and with good reason. Building an AI is no easy task, even for Facebook founder Mark Zuckerberg. I always questioned if he has lost his touch with coding over so many years working in management. This proves us wrong and that he is constantly trying to improve his skills and stay in touch with the demand of the industry. He also extensively used Facebook API.

Mark Zuckerberg Is The Most Powerful Person On Earth But Is He Responsible I follow Zuckerberg on Facebook and I am always inspired by him. His philanthropic initiatives for education and health, his dedication to finish each of his challenges (reading, running, traveling), his passion to finish his home AI Jarvis, and much more. This post discusses on the important role Mark Zuckerberg have over the internet and the world as one billion people on earth are active users of Facebook. Like any big company, Facebook is becoming a threat to freedom and accurate information transmission.

Why I Studied 8 Months For a Google Interview The author passed 8 months to prepare for his Google interview and share his experience. I love how in his post, he doesn’t hesitate to talk about his mistakes. It is so inspiring to see someone’s dedication and strong effort toward success. Go to his Github account to see his curriculum here. It is beautiful to see so much dedication and to strike to understand each of these subjects properly. My favorite part is his advice to stop reading books early and start coding ASAP. I totally agree with this advice.

The Great A.I. Awakening An interesting post about the current use of Artificial Intelligence at Google to optimize their famous product, Google Translate. It is a long post that goes through every topic of AI and Machine Learning.

Artificial Intelligence

A Secret Ops AI Aims to Save Education Georgia Tech teacher Ashok Goel was teaching an Artificial Intelligence course online and decided to reate an AI called Jill Watson to answer to the questions from his huge online class.

Interesting Posts (Election related)

Who Voted for Hillary We are in January 2017 and people are still talking about the November 2016 Election! User Jeremy Sklarsky listed here all the available statistics on who voted for Hillary Clinton. It is interesting to see that only 54% of women voted for Hillary as I would expect a way higher number, especially considering gender equality was a very important point of her campaign.

Wall Street wants algorithms that trade based on Trump’s tweetsTalking about the elections, Trump is bringing a whole new volatility to the world with his random Tweets. Currently the Wall Street Traders are trying to use this information to their advantage as the any word from the President-Elect can change the market pricing.